By this, I mean how to make an intelligent tutoring system learn a student's approach to questions and understanding based on previous experiences. Having the capacity to know at hand likely questions a student will ask if some concepts are introduced or some steps skipped and the level of understanding or comprehension of a solution provided based on previous experiences.
Thanks.
Chinedu:
We are trying to develop right now an auto-assessment platform for academic writing as it's a key foundational skill in higher education. Perhaps, the developmental structure can be of some help.
Best regards,
Debra
Poster Auto Assessment Academic Writing (Poster)
Read the concepts of Intelligent Software Agents. Agents are software programs that that assist others using their knowledge base. You can model your Intelligent Tutoring system so as to react, respond and update the newly learned knowledge from / in its knowledge base.
Chinedu:
We are trying to develop right now an auto-assessment platform for academic writing as it's a key foundational skill in higher education. Perhaps, the developmental structure can be of some help.
Best regards,
Debra
Poster Auto Assessment Academic Writing (Poster)
Student’s errors are recognized using the system knowledge base which is made up of three components:
− a domain ontology describing the concepts and relations surrounding the domain concepts;
− a set of parser rules in order to find the entities corresponding to classes in the domain ontology and relationship between them;
− a constraints base, expressed as a first order formula, that a solution must satisfy in order to be correct.
http://www.cs.unibo.it/~riccucci/Paper/75.pdf
Hi,
Ontologies can be useful in the domain of ITS
I suggest you to have a look on Dr. Riichiro Mizoguchi's researchs
have a nice day
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